From Criminal Spheres of Familiarity to Crime Networks

  • M. OliveiraEmail author
  • H. Barbosa-Filho
  • T. Yehle
  • S. White
  • R. Menezes
Part of the Studies in Computational Intelligence book series (SCI, volume 597)


We have never lived in a safer world. After peaking around 1985, both violent crime (homicide, robbery, assaut and rape) and property crimes (burglary, larceny and vehicle theft) are on a downward trend; from 1993 and 2012 crime activity has dropped by more than 40% (total number of crimes). Despite the good news, crime is still prevalent in most large cities. FBI reports that in 2013 there were about 3,098 crimes per 100,000 habitants in the USA, with 2,730 of them being property crimes and 367 violent. What most people can agree is that one preventable crime is one crime that should not have taken place. The unveiling of the structure of criminal activity can lead to a better understanding of crime as a whole which in turn can help us provide better protection to our citizens. We demonstrate in this paper that crime follows a very intersting spatial community pattern regardless of the type of crime, criminal activity aggregates in communities of well defined sizes. We believe the results of this paper is a first step towards a theory of crime modeling using network science.


Crime Networks Crime Structure Crime Analysis Community Structure 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • M. Oliveira
    • 1
    Email author
  • H. Barbosa-Filho
    • 1
  • T. Yehle
    • 2
  • S. White
    • 3
  • R. Menezes
    • 3
  1. 1.BioComplex Laboratory, Department of Computer SciencesFlorida Institute of TechnologyMelbourneUSA
  2. 2.School of ComputingUniversity of UtahSalt Lake CityUSA
  3. 3.College of Arts and SciencesUniversity of North Carolina at Chapel HillChapel HillUSA

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